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PhD: Systematic Exploration of Robot Behaviours for Manufacturing Tasks to Automatically Discover Failure Scenarios
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Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems
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Bugging Out: When AI loses the Plot – Detecting and Taming Hallucinations in LLM-Generated Code (S3.5-COM-Wang) School of Computer Science PhD Research Project Competition Funded Students Worldwide
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project offers a unique opportunity to apply cutting-edge computational methods to a fundamental challenge in reproductive biology: understanding why human embryos fail. As delayed childbearing becomes more
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training will begin with an intensive six-month programme at the University of Hull, drawing on the expertise and facilities of all four academic partners. It is supplemented by Continuing Professional
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both wet bench work and computational work (bioinformatics, chemoinformatics and image analysis). You will gain experience in working with zebrafish embryos, and the use of high-content imaging
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cost can be integrated to create a composite that reduces our reliance on critical REEs without sacrificing efficiency. Your research will be at the forefront of computational materials science. You will
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significant global challenges. This project tackles this problem with an innovative, dual-pronged approach. This project will use a high-throughput computational search for entirely new magnetic materials
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Your training will begin with an intensive six-month programme at the University of Hull, drawing on the expertise and facilities of all four academic partners. It is supplemented by Continuing
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World Models, Predictive Control and Foundation Models for Robotics